Machine Learning Engineer
il y a 3 jours
San Sebastián
We are looking for a talented and experienced Machine Learning Engineer with expertise in Large Language Models to join our clients team in Spain! This role offers the opportunity to work with cutting-edge quantum and AI technologies, spearheading the design, implementation, and enhancement of our language models. You will collaborate with cross-functional teams to seamlessly integrate these models into our products, tackle complex challenges, contribute to innovative research, and help shape the future of LLM and NLP technologies. Responsibilities: • Develop advanced techniques for compressing Large Language Models using quantum-inspired technologies to address complex problems across various domains., • Perform rigorous evaluations and benchmarks to assess model performance, identify areas for enhancement, and optimize LLMs for improved accuracy, robustness, and efficiency., • Leverage your expertise to analyze model strengths and weaknesses, propose improvements, and devise innovative solutions to boost performance and efficiency., • Serve as a subject matter expert in LLMs, addressing domain-specific challenges and exploring opportunities for quantum AI-driven innovation., • Maintain detailed documentation of LLM development processes, experiments, and findings., • Share knowledge within the team, foster continuous learning, mentor junior team members, and support their growth in LLM development., • Participate in code reviews and offer constructive feedback to peers., • Stay informed about the latest advancements and trends in LLMs, recommending relevant tools and technologies. Qualifications: • A Master’s or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or a related field., • 3+ years of hands-on experience with deep learning models and neural networks, particularly in working with Large Language Models, Transformer architectures, or computer vision models., • At least 1 year of practical experience with LLMs and Transformer models, with proficiency in libraries such as HuggingFace Transformers, Accelerate, and Datasets., • Strong mathematical foundation and deep knowledge of deep learning algorithms and neural networks, covering both training and inference., • Proficient in problem-solving, debugging, performance analysis, test design, and documentation., • Solid understanding of GPU architectures and their applications., • Excellent Python programming skills and experience with libraries like PyTorch and HuggingFace., • Familiarity with cloud platforms (preferably AWS), containerization tools like Docker, and deploying AI solutions in cloud environments., • Strong written and verbal communication skills with the ability to work collaboratively in a dynamic team environment and convey complex ideas effectively., • Research publications in deep learning are a plus., • Fluent in English and Spanish is a must. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ___
